This course focuses on building a practical and clear understanding of how to communicate effectively with AI tools through well-structured prompts. It begins with the fundamentals of prompt engineering, including prompt structure, intent framing, and different prompt types. Learners are guided on how to apply these techniques to real-world use cases such as content creation, problem-solving, research, automation, and analysis.The course also introduces a range of AI tools and models, explaining the strengths and limitations of each. It helps learners understand which type of AI is best suited for specific tasks, enabling smarter and more efficient use of AI across professional and personal workflows.
This course requires only basic computer and internet knowledge, such as using a web browser and typing, and does not require any prior technical or coding background. Learners should have access to AI tools like ChatGPT, Perplexity, Gemini, or similar platforms, where even free versions are sufficient to follow along. A willingness to experiment with prompts, practice real-world examples, and a genuine curiosity to explore how AI can improve productivity, creativity, and decision-making are the only essential prerequisites.